Simplify AutoBNN plotting util

PiperOrigin-RevId: 618963756

tensorflow_probability/python/experimental/autobnn/training_util.py

@@ -288,6 +288,7 @@ def plot_results(
     y_train: Optional[jax.Array] = None,
     diagnostics: Optional[Dict[str, jax.Array]] = None,
     log_scale: bool = False,
+    show_particles: bool = True,
     left_limit: int = 24*7*2,
     right_limit: int = 24*7*2,
 ) -> plt.Figure:
@@ -307,44 +308,41 @@ def plot_results(
   else:
     fig, res_ax = plt.subplots(figsize=(16, 3), constrained_layout=True)
 
-  for idx, p in enumerate(preds):
-    res_ax.plot(
-        dates_preds,
-        p,
-        'k-',
-        alpha=0.1,
-        label='Particle predictions' if idx == 0 else None,
-    )
+  if show_particles:
+    for idx, p in enumerate(preds):
+      res_ax.plot(
+          dates_preds,
+          p,
+          'k-',
+          alpha=0.1,
+          label='Particle predictions' if idx == 0 else None,
+      )
 
   color = 'steelblue'
   if p50 is not None:
     res_ax.plot(
-        dates_preds, p50, '-', lw=5, color=color, label='Prediction')
+        dates_preds, p50, '-', lw=2.5, color=color, label='Prediction')
   if p97_5 is not None and p2_5 is not None:
     res_ax.plot(dates_preds, p97_5, '-',
-                lw=3, color=color, label='Upper/lower bound')
-    res_ax.plot(dates_preds, p2_5, '-', lw=3, color=color)
+                lw=1.5, color=color, label='Upper/lower bound')
+    res_ax.plot(dates_preds, p2_5, '-', lw=1.5, color=color)
     res_ax.fill_between(
         dates_preds, p2_5, p97_5, color=color, alpha=0.2
     )
 
-  data_kwargs = {'ms': 7, 'mec': 'k', 'mew': 2}
   if dates_train is not None and y_train is not None:
     res_ax.plot(
         dates_train,
         y_train,
-        'o',
-        mfc='red',
-        label='Train data',
-        **data_kwargs)
+        'k-',
+        label='Ground truth data',
+        )
   if dates_test is not None and y_test is not None:
     res_ax.plot(
         dates_test,
         y_test,
-        'o',
-        mfc='green',
-        label='Test data',
-        **data_kwargs)
+        'k-',
+        )
   res_ax.set_title('Predictions')
   res_ax.legend()
   left_limit = min(len(dates_preds) - len(dates_test), left_limit)
@@ -353,6 +351,7 @@ def plot_results(
   # TODO(ursk): Rather than modifying xlim, don't plot invisible points at all.
   res_ax.set_xlim([dates_preds[first_test_point-left_limit],
                    dates_preds[first_test_point+right_limit]])
+  res_ax.axvline(dates_preds[first_test_point], linestyle='--')
   return fig